2014
DOI: 10.1080/07474938.2014.977077
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The Local Power of the CADF and CIPS Panel Unit Root Tests

Abstract: Very little is known about the local power of second generation panel unit root tests that are robust to cross-section dependence. This paper derives the local asymptotic power functions of the CADF and CIPS tests of Pesaran (A Simple Panel Unit Root Test inPresence of Cross-Section Dependence, Journal of Applied Econometrics 22, 2007), which are among the most popular tests around.

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Cited by 47 publications
(22 citation statements)
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“…The second generation panel unit root tests should be used if the cross-sectional dependence is detected between the series because the second-generation tests relax the restraining cross-sectional independence assumption of first-generation unit root tests. 123 Pesaran 120,124 developed the most popular second generation panel unit root tests compared to others: 125 cross-sectionally augmented Dickey–Fuller (CADF) and cross-sectionally augmented Im, Pesaran, and Shin (CIPS) tests. In this study, the CADF test is employed to investigate whether the series are stationary or nonstationary.…”
Section: Methodsmentioning
confidence: 99%
“…The second generation panel unit root tests should be used if the cross-sectional dependence is detected between the series because the second-generation tests relax the restraining cross-sectional independence assumption of first-generation unit root tests. 123 Pesaran 120,124 developed the most popular second generation panel unit root tests compared to others: 125 cross-sectionally augmented Dickey–Fuller (CADF) and cross-sectionally augmented Im, Pesaran, and Shin (CIPS) tests. In this study, the CADF test is employed to investigate whether the series are stationary or nonstationary.…”
Section: Methodsmentioning
confidence: 99%
“…We adopt the cross-sectional augmented Im-Pesaran-Shin (CIPS) and cross-sectional augmented Dickey-Fuller (CADF) [111]. The CIPS represents the augmented form of IPS which estimates by averaging the individual CADF statistical testing for every panel [112]. These twopanel unit root testing approaches effectively estimate heterogeneity and cross-sectional dependence (CSD).…”
Section: Unit Root Testingmentioning
confidence: 99%
“…However, these tests do not take into account the cross-sectional dependence. Hence, the Cross-sectional augmented IPS (CIPS) and Cross-sectional Augmented Dickey-Fuller (CADF) tests developed by Pesaran (2007) are employed where the ADF regressions are improved with cross-section averages of lagged values and first differences for each unit ( Westerlund et al., 2016 ). CADF statistics can be formulated as follows: …”
Section: Methodsmentioning
confidence: 99%